Data Warehousing Engineer

Data Warehousing Engineer (ETL), conversant on data extraction, transformation, and reporting tasks. The role would involve activities. In addition to have the must-have skill sets, it would be good to have the preferred skill sets and the aptitude to ramp up quickly and hit the ground running on new technologies such as NoSQL databases.

Build reports & analyses to support essential business functions.Understand the functionality of different products and reporting/analytics requirements.Identify and understand all applicable data sourcesOwn all required projects & tasks such as data extraction, data manipulation, generation of reports & analyses, and automation.Work in an agile team, working directly with product management, engineering team, BI/analytics team, and business stakeholders..Preferred (need the aptitude to learn these tools if not already familiar):Web analytics tools: Google Analytics (alternatives: Omniture, Webtrends, etc.)NoSQL technologiesRethinkDBPostgresElastic SearchWeb programming (Javascript, JSON, etc.), Other Open Source databasesEXPERIENCE REQUIREMENTS

Must have: SQL programming & RDBMS: Microsoft SQL Server (alternatives: Oracle, Teradata, etc.),

Excel.

Reporting automation & analytics

BI tools: Tableau (alternatives: SSRS, Micro Strategy, Qlikview, etc.)

SQL programming & RDBMS: Microsoft SQL Server (alternatives: Oracle, Teradata, etc.), ExcelReporting automation & analyticsBI tools: Tableau (alternatives: SSRS, Micro Strategy, Qlikview, etc

EDUCATIONBachelor's Degree in Computer Science or related field